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Displaying results 31 - 60 of 66 in total
Conference Session
Computers in Education Division (COED) Poster Session
Collection
2023 ASEE Annual Conference & Exposition
Authors
Neha B. Raikar, University of Maryland Baltimore County; Nilanjan Banerjee
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
Group B Group A Group B Group B Group A Group B Group ASelf-reporting data collection to understand the student and faculty perspective onanonymous grading.Once we have successfully tested out our platform for anonymous grading, we would like tosurvey students for their perception of the tool and its efficacy. We believe that anonymousgrading will have a positive reinforcement effect on students as it, by definition, implies that nofactors other than the solution of the exam will be used for grading. To test this hypothesis, wewill use a questionnaire on student perceptions of anonymous grading and reflections on theirperformance. Specifically, we will ask the
Conference Session
COED: Skills for Moving from Computing Student to Professional
Collection
2023 ASEE Annual Conference & Exposition
Authors
Stephanie Jill Lunn, Florida International University; Veon Brewster, Florida International University
Tagged Divisions
Computers in Education Division (COED)
completed a survey to reflect on theirperformance, using the Marino Interview Assessment Scale (MIAS), and answered questionsabout their preparedness and the system. Later, hiring managers (n = 2) watched the videos of theinteractions and rated the students’ performance using the MIAS. We used Mann-Whitney U teststo compare the students’ ratings to those of the external evaluators. We also utilized descriptivestatistics to analyze the closed-ended questions and thematic analysis for the open-endedresponses. Although there was no significant change in self-assessed performance relative toexternal evaluations in hiring scenarios, we observed the need to help students improve theirintroduction and closing in a job interview. Furthermore, 90% of
Conference Session
Computers in Education Division (COED) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Carsten Monrad Thue-Bludworth, University of Florida; Jeremiah J Blanchard, University of Florida
Tagged Divisions
Computers in Education Division (COED)
. Pasricha, “Embedded systems education in the 2020s: Challenges, reflections, and future directions,” Proceedings of the Great Lakes Symposium on VLSI 2022, vol. Not available, p. Not available, JUN 2022.[12] “Iron coder repository.” https://github.com/shulltronics/iron-coder. Accessed: 2024-01-20.[13] Arduino, “Installing libraries.” https://docs.arduino.cc/software/ide-v1/tutorials/installing-libraries/. Accessed: 2024-01-20.[14] J. Blanchard, C. Gardner-McCune, and L. Anthony, “Effects of code representation on student perceptions and attitudes toward programming,” 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), vol. Not available, p. Not available, OCT 2019.[15] Microsoft, “Language server
Conference Session
The Best of Computers in Education
Collection
2023 ASEE Annual Conference & Exposition
Authors
Yiqiu Zhou, University of Illinois, Urbana-Champaign ; Qianhui Liu, University of Illinois, Urbana-Champaign ; Sophia Yang, University of Illinois, Urbana-Champaign ; Abdussalam Alawini, University of Illinois, Urbana-Champaign
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
exploratory study aims to discover temporal patterns that illuminate group problem-solvingbehaviors. It is important to emphasize that our analysis is conducted at the group level sincestudents submit assignments and receive credits collectively. As a result, all log traces within thesame group are aggregated to derive group-level submission patterns. Specifically, we focus onpatterns derived from the time spent on each submission attempt, employing sequential patternmining techniques to identify patterns potentially reflecting group problem-solving strategies.Our analytical pipeline comprises the following steps:1. Submission LabelPrairieLearn platform supports two types of saving events: students can either save currentprogress for later
Conference Session
COED: Online and Remote Learning
Collection
2023 ASEE Annual Conference & Exposition
Authors
Janardhanan Gangathulasi, National Institute of Technical Teachers Training and Research, Chennai, India; Shanmuganeethi Velu, P.E.; P. Malliga; Dinesh Kumar K.S.A.
Tagged Divisions
Computers in Education Division (COED)
members should look for OER that are peer-reviewed or have undergone some form of quality assurance process. They should also verify that the OER reflects current knowledge and practices in the subject area.3. Relevance: Faculty members should look for OER that are relevant to their courses and the needs of their students. OER should cover the topics and concepts that are required for the course and should be presented in a way that is accessible and engaging for students.4. Currency: OER should be up-to-date, reflecting the latest research and developments in the subject area. Faculty members should look for OER that are regularly reviewed and updated to ensure that they remain relevant and accurate.5. Accessibility: OER should
Conference Session
COED: Grading Systems
Collection
2023 ASEE Annual Conference & Exposition
Authors
Liia Butler, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign
Tagged Divisions
Computers in Education Division (COED)
to students.4.1.2 End of Semester SurveyWe then surveyed students from the Point-Restricted-Policy semester at the end of thesemester.We had the students compare the Poinr-Restricted-Policy course against Time-Restricted-Policycourse. We specifically asked in what ways did a student approach completing the programmingassignments differently between the two courses. Students were instructed to skip the question ifthey did not take the course recently with the time-restricted policy. We asked this question toanswer RQ1 from the perspective of students who have now experienced both policies and areable to reflect on both. These responses also help inform our answer to RQ2, supplementing ourobservations through the lab success measures as we
Conference Session
COED: All about That Math
Collection
2023 ASEE Annual Conference & Exposition
Authors
Ashish Amresh, Arizona State University; Vipin Verma, Arizona State University; Michelle Zandieh, Arizona State University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
teaching linear algebra that have shown success and promise [5]. Theemerging area of inquiry oriented linear algebra (IOLA) has undergone many iterations to itspedagogical practice by applying a design based research practice and provides an empiricallytested curriculum for linear algebra instructors [6].1.1 Inquiry Oriented Linear AlgebraThe IOLA curriculum draws on RME instructional design heuristics to guide students throughvarious levels of activity and reflection on that activity to leverage their informal, intuitiveknowledge into more general and formal mathematics. The first unit of the curriculum, referred toas the Magic Carpet Ride (MCR) sequence, serves as an example of RME instructional design.Specifically, the tasks reflect four
Conference Session
COED: Student Perspectives of Instructional and Advising Approaches
Collection
2023 ASEE Annual Conference & Exposition
Authors
Ahmed Dallal, University of Pittsburgh
Tagged Divisions
Computers in Education Division (COED)
minutes in length, before attending class. During class, the algorithms were reinforced through demos. ii. Encouraging student engagement with the material through in-class discussions and demos. iii. Promoting student reflection by asking them to answer warm-up questions related to the video lectures at the beginning of each class.Furthermore, we employed short accountability quizzes to evaluate students' comprehension andencourage them to complete the video lectures prior to class meetings. These quizzes consistedmainly of multiple-choice questions and were administered through the course managementsystem, Canvas, enabling students to receive immediate feedback on their performance.Programming homework assignments were
Conference Session
Cybersecurity Topics
Collection
2024 ASEE Annual Conference & Exposition
Authors
Heena Rathore, Texas State University; Henry Griffith, San Antonio College
Tagged Divisions
Computers in Education Division (COED)
with numbers to find the hidden treasure. Additionally, an alternative encryption approachinvolved Secret Decoder Wheel created by INL, where letters were matched with symbols, allow-ing for encoding messages to describe the treasure locations in symbols for students to decode andfind.Similarly, in 14 was developed exclusively for grades third to eight where the students had to solveCaesar shift encryption algorithm. The author designed a worksheet and organized a scavengerhunt for an all-girls STEM-careers camp, catering to ages 6-12. They facilitated the completion ofthe worksheet collectively and split the participants into two age-based groups for the scavengerhunt. The author reflects that the activity effectively introduces children to
Conference Session
ML and Generative AI Tools and Policies
Collection
2024 ASEE Annual Conference & Exposition
Authors
Jason M. Keith, Mississippi State University; Amin Amirlatifi, Mississippi State University; Shahram Rahimi; Subash Neupane, Mississippi State University; Sudip Mittal
Tagged Divisions
Computers in Education Division (COED)
is occurringabout how to best utilize AI tools such as ChatGPT. For example, a recent Chronicle article [2]outlined one student’s positive experiences in leveraging ChatGPT to get some specific advicetowards an assignment. This work touches on a newly developing field called “promptengineering.” The reader is referred to the article by Lo [3] to provide additional guidance to usersof AI tools, pointing to the CLEAR Framework acronym (Concise, Logical, Explicit, Adaptiveand Reflective). These concepts have also been discussed in several forums, including the chemicalengineering division of ASEE at the 2023 meeting [4], and provide a framework for our modeldevelopment.Development of a college-level / university-specific chatbot would be
Conference Session
Computers in Education Division (COED) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Gerry A Pedraza, Texas A&M University; Sunay Palsole, Texas A&M University
Tagged Divisions
Computers in Education Division (COED)
majorityof respondents rating it as "Very Well" or "Extremely Well." This reflects an elevated level ofsatisfaction with the AI’s ability to streamline and refine lecture content, removing unnecessaryelements such as pauses and distractions. However, a small group of the participants rated thisaspect as "Well," suggesting some room for improvement in content refinement.(c) Utility of Final Segmented Lecture ProductWe noticed a wide variation in the responses to the question of the utility of the final segmentedlecture which was one of the products of Transcriptto. One participant rated the product as notvery useful, but a majority of the respondents did find the product to the somewhat useful to veryuseful. The focus group data were used to
Conference Session
COED: Computing in K-12 / Early Childhood Education
Collection
2023 ASEE Annual Conference & Exposition
Authors
Safia A. Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
Conference Session
COED: Computing in K-12 / Early Childhood Education
Collection
2023 ASEE Annual Conference & Exposition
Authors
Safia Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University
Tagged Divisions
Computers in Education Division (COED)
withthese steps to maximize the positive impact while using CT to build solutions Figure 5. CT-Foundation-to-Creation ModelEarly childhood educators play an essential role in enhancing the CT experience and increasingstudent understanding of CT. Teachers need to determine HOT question types through solutionbuilding stage (Figure 6). An example of a question for the thinking step could be “I wonderwhat would happen if…?” An example of a testing question could be “Can you show me how touse it...?,” and a question for the self-reflection step could be “What was the most interestingthing you learned here?” An example question for the improvement step could be “What mightyou do differently next time
Conference Session
Robotics and Circuits
Collection
2024 ASEE Annual Conference & Exposition
Authors
Carl Joseph Murzynski, Pennsylvania State University, Behrend College; Hussein - Abdeltawab, Wake Forest University; Omar Ashour, Pennsylvania State University, Behrend College; Ahmed Sammoud, Pennsylvania State University, Behrend College
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
Exercise DescriptionThe robotic platforms were used in an operating systems and systems programming course at PennState Behrend as a part of a lab exercise to demonstrate concepts related to task design, timing,synchronization, and mutual exclusion mechanisms. The exercise was divided into sections:Introduction to the robotic platform operation, task design using timing and synchronizationmechanisms, and feedback and reflection on the lesson learned.The tudentts were first introduced to the basic operation of the robotic arm using manual controland Application Programming Interfaces (API) control through a Python control program. Thechallenges of moving the arm in space using different coordinates and keeping track of the arm’sposition were
Conference Session
Programming Education 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Tyler James Stump, The Ohio State University; Abbey Darya Kashani Motlagh, The Ohio State University; Krista M Kecskemety, The Ohio State University
Tagged Divisions
Computers in Education Division (COED)
variable student experiences thatmay not be represented within this work. Another limitation in the study can be found within thesurvey design. Initially, the project took a deficit framing and developed the survey instrument tocontain questions related to barriers rather than student experiences. In doing this, results may beskewed more towards sharing frustrations or negatively framed experiences in replacement ofauthentic positive experiences that may not have been elicited provided the question framing.Lastly, the students were asked to reflect on experiences at the end of the course, in which theexperience reflected in a student’s response may not be representative of their authentic as timeand other experiences may have skewed memory of
Conference Session
The Best of Computers in Education Division (COED)
Collection
2024 ASEE Annual Conference & Exposition
Authors
John K. Estell, Ohio Northern University; Lisa Graham Robeson, Ohio Northern University; Ye Hong, Ohio Northern University; Stephany Coffman-Wolph, Ohio Northern University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
opportunity between engineering and the arts through thedevelopment of a “Special Topics: Interactive Fiction” course was developed and subsequentlyapproved by the curriculum committees of both colleges for the 2022-2023 academic year. Whilethe remainder of this paper focuses on this Interactive Fiction course, the authors want toacknowledge the key roles played by the instructors involved in these preceding courses.2023 - Interactive Fiction: Goals and LogisticsThe two primary goals for the Interactive Fiction course were (1) for students to learn how to usea natural language software platform, such as Inform [30], to design an interactive game in a waythat reflects the diversity of cultures and experiences encountered during the era of
Conference Session
Simulations and Virtual Learning
Collection
2024 ASEE Annual Conference & Exposition
Authors
David J Gagnon, Field Day Lab @ UW-Madison; John M. Pfotenhauer, University of Wisconsin, Madison; Arganthael Berson, University of Wisconsin, Madison; Luke Swanson, University of Wisconsin, Madison
Tagged Divisions
Computers in Education Division (COED)
tasksinto instructional activities, making the assessment process less intrusive and more reflective ofstudents' actual learning processes [23]. Assessment tasks are designed to be directly relevant tothe learning objectives and often require students to apply their knowledge and skills in authenticcontexts. This approach enables educators to assess not only the final product of learning but alsothe learning process itself, including students’ problem-solving strategies, critical thinking, andability to apply knowledge in real-world situations [24].Embedded assessment comes with many challenges. Teachers must be skilled in designingassessment tasks and in interpreting the evidence of learning these tasks provide [25]. Due toembedded assessment’s
Conference Session
COED: Cybersecurity Education
Collection
2023 ASEE Annual Conference & Exposition
Authors
Xiaoli Yang; Ahmad Y. Javaid, The University of Toledo; SaiSuma Sudha; Sai Sushmitha Sudha
Tagged Divisions
Computers in Education Division (COED)
, malicioussoftware, and cryptography. And for the topics that require improvement, we'll focus on enhancingthe supporting information and explanations for better outcomes.AcknowledgementThis material is based upon the work supported by the United States National Science Foundationunder Grant No. 1903419 and 1903423 through the Security and Trustworthy CyberspaceEducation (SaTC: EDU) program. Any opinions, findings, and conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views of theNational Science Foundation. This study was approved by the Institutional Review Board (IRB)at Purdue University Northwest and the University of Toledo under protocol numbers IRB-2020-1119 and IRB-301407-UT
Conference Session
COED Modulus Topics
Collection
2023 ASEE Annual Conference & Exposition
Authors
Adam Steven Weaver, Utah State University; Jack Elliott, Utah State University
Tagged Divisions
Computers in Education Division (COED)
engineering educators to research more holisticstudent networks than previously studied. Results of these future studies may yield moregeneralizable and accurate conclusions about which social practices help students succeed.Acknowledgements This material is based upon work supported by the second author's National ScienceFoundation Graduate Research Fellowship under Grant No. DGE1745048. Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation. References[1] A. Kozulin, Vygotsky’s Psychology: A biography of ideas. Cambridge, MA: Harvard University Press, 1990.[2
Conference Session
Programming Education 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
John Alexander Mendoza-Garcia, University of Florida
Tagged Divisions
Computers in Education Division (COED)
ultimately impacts motivation and retention. According to the findings in this study, whenteaching programming to these students, there are teaching opportunities that can beimplemented to improve students’ problem-solving styles, such as Engineering Design Projects.These kinds of projects are effective for this purpose if they follow a Project-based BasedLearning approach, which is “characterized by students’ autonomy, constructive investigations,goal setting, collaboration, communication and reflection within real-world practices [3].” Theresults also show that the nurturing of problem-solving styles in engineering students can gohand-in-hand with the learning of technical Engineering skills. Including such opportunities forstudents to work on
Conference Session
Computer-Supported Pedagogy and Assessment
Collection
2024 ASEE Annual Conference & Exposition
Authors
Zulal Sevkli, Miami University
Tagged Divisions
Computers in Education Division (COED)
, individuals have access toresources and tools to aid decision-making and problem-solving. Closed-note exams may notaccurately reflect the conditions and demands of these environments, limiting their relevance inpreparing students for future academic and professional endeavors.This study explores the design, implementation, and evaluation of computer-based examinationmethods within the context of the System Programming course. We implement a BYODapproach similar to those found in the literature, combining web-based IDEs with LearningManagement Systems (LMS) and web-based proctoring software. From the literature, weunderstand that open-note and close-note are somehow different from each other and there are noenough studies on comparing of these two
Conference Session
Computers in Education Division (COED) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Samuel Opeyemi Falade, Texas A&M University; Kristi J. Shryock, Texas A&M University; Michael S Rugh, Texas A&M University; Andre Thomas, Texas A&M University
Tagged Divisions
Computers in Education Division (COED)
video game modifies visual selective attention," Nature, Article vol. 423, no. 6939, p. 534, May 2003, doi: 10.1038/nature01647.[13] P. Wang, H.-H. Liu, X.-T. Zhu, T. Meng, H.-J. Li, and X.-N. Zuo, "Action video game training for healthy adults: A meta-analytic study," Frontiers in Psychology, vol. 7, Jun. 2016, doi: 10.3389/fpsyg.2016.00907.[14] S. Kühn, J. Gallinat, and A. Mascherek, "Effects of computer gaming on cognition, brain structure, and function: a critical reflection on existing literature," Dialogues in clinical neuroscience, Periodical vol. 21, no. 3, pp. 319-330, 2019, doi: 10.31887/DCNS.2019.21.3/skuehn.[15] A. J. Toth, N. Ramsbottom, M. Kowal, and M. J. Campbell, "Converging evidence
Conference Session
Computers in Education Division (COED) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Valerie A Carr, San Jose State University; Jennifer Avena, University of Northern Colorado; Maureen Smith; Wendy Lee, San Jose State University; David Schuster, San Jose State University; Belle Wei, San Jose State University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
19.3% Nursing 12.5% Psychology 11.9% Psychology 8.8% Nursing 10.4%Programming experience Programming experience No prior prog course 78.5% No prior prog course 80.0% No/very little Python 74.1% No/very little Python 88.0%Note: NB: Non-binary, SD: Self-described, PNR: Prefer not to respond, HI: Hawaiian, PacIsland: Pacific Islander, prog: ProgrammingDemographic data for student participants can be found in Table 1. The race and ethnicity profileof the sample broadly reflects that of the California community colleges from which studentswere recruited. We next evaluated
Conference Session
COED: Grading Systems
Collection
2023 ASEE Annual Conference & Exposition
Authors
Marko V. Lubarda, University of California, San Diego; Alex M. Phan, University of California, San Diego; Aidan Daniel Carrigg; Karthik Srinivasan; Josephine Relaford-Doyle, University of California, San Diego
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
students’ willingness to reflect on their understanding, to identify misconceptions andareas of deficiency, and to make adjustments to improve learning and performance [1], [11],[12]. Constructive well-designed feedback has also been shown to improve student motivationand self-efficacy beliefs [13], [14]. Academic integrity research argues that meaningfulsupportive feedback empowers students, reducing their likelihood to cheat [15]. Educatorsadopting formative feedback as an instructional intervention too can benefit from the process, asit can offer them valuable insights into students’ understanding of the subject material to helpinform their pedagogy [16], [17].While most of the earlier research focused either on feedback to students as a
Conference Session
COED Programming Education 2: Instructional Approaches
Collection
2023 ASEE Annual Conference & Exposition
Authors
Richard Whalen, Northeastern University; Joshua L. Hertz, Northeastern University
Tagged Divisions
Computers in Education Division (COED)
Figure 1. The main kit components include an Arduino based microprocessor called aRedboard, a motor driver, gear motors, servo motor, ultrasonic distance sensor, TMP36temperature sensor, photocell, Tricolor LCD, assorted color LCDs, buttons, power switch,piezoelectric speaker, resistors, LED display, various wires and wheels. Students begin to learnabout basic circuits, breadboards, programmable microcontrollers and the use of the Arduino IDE.In addition, a robot chassis is provided along with reflective sensors, ultrasonic distance sensorsand servo motors that are used as an initial platform in the robot builds.The process of learning the basics of Arduino is accomplished by completing 3 mini projects whichare outlined as follows. In project 1
Conference Session
COED: AI and ML Topics
Collection
2023 ASEE Annual Conference & Exposition
Authors
Nebojsa I. Jaksic, Colorado State University, Pueblo; Bahaa Ansaf, Colorado State University, Pueblo
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
of applications that were introduced in the workshop.Upon completion of the workshop, the participants were given an eight-question exit post-trainingsurvey shown in Figure 2. There were six quantitative questions using a five point or a three-pointLikert scale as well as two qualitative questions. The two qualitative questions were also used aspedagogical tools based on experiential learning best practices. Question 7’s goal was to elicit apositive self-reflection while Question 8 reinforced learning through internalization andsummarization. 1. Exiting this workshop, I learned something new about AI concepts, applications, and ethics (1 - strongly disagree to 5 - strongly agree). 2. I have a better understanding of AI and how to
Conference Session
COED: Spotlight on Diverse Learners
Collection
2023 ASEE Annual Conference & Exposition
Authors
Heidi Huang, University of Michigan, Ann Arbor; Kevin Yan, University of Michigan, Ann Arbor; Andrew Deorio, University of Michigan, Ann Arbor
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
-URM basedon academic records provided by our institution. Our demographic records define URM as“African Americans, Hispanic Americans, American Indians/Native Alaskans, NativeHawaiians/Pacific Islanders (excluding Asian Americans), and multi-racial students identifying atleast one of previously listed URM categories.” The academic records provided by our universityalso included an “International” category. Our institution defines international students as “havinga citizenship status of Non-Resident Alien or Alien Under Tax Treaty”.The “International” category includes students with a broad and diverse range of experiences.“URM” and “non-URM” are contextualized terms that reflect the lived experiences of domesticstudents. Thus, we eliminated
Conference Session
The Best of Computers in Education Division (COED)
Collection
2024 ASEE Annual Conference & Exposition
Authors
Yutong Ai, University of Michigan; Maya Baveja, University of Michigan; Akanksha Girdhar, University of Michigan; Melina O'Dell, University of Michigan; Andrew Deorio, University of Michigan
Tagged Divisions
Computers in Education Division (COED)
summarizing assignment resources in its responses.Our Bot had a high rate of helpfulness for high-level conceptual questions. For prompts like“Explain threads and sockets to me,” both ChatGPT and the Bot gave correct, detailed responses,but the Bot focused on examples that were directly relevant to the project. Based on the qualitativeanalysis of the responses from our custom Bot and ChatGPT, using a focused chatbot was morebeneficial than a general purpose chatbot in the context of a specific course project.5.3 Student expectations of Bot helpfulnessStudent evaluations of the Bot’s helpfulness may reflect expectations of the Bot. A majority ofstudent-reported unhelpful interactions were marked as helpful upon instructor review.When Bot responses
Conference Session
Computer Engineering Topics
Collection
2024 ASEE Annual Conference & Exposition
Authors
Timothy Sellers, Mississippi State University; Tingjun Lei, Mississippi State University; Chaomin Luo, Mississippi State University; Gene Eu Jan; Zhuming Bi, Purdue University, Fort Wayne
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
ensure that students learning can perform effectively in a professionalsetting [5, 6]. Due to this factor, there have been several methods designed to aid in studentlearning especially in engineering education, such as active learning [7–11], project-basedlearning [12, 12–16], inquiry-based learning [17].Active learning has been aware of improvement of students’ affect toward engineering educationin support of meaningful engagement with computer engineering concepts and practices [7].Compeau et al. [8] developed an active learning pedagogy in engineering electromagneticscourse, in which engineering students are actively engaged in learning through specially designedactivities, followed by reflection upon. A teaching plan is elaborated in [9
Conference Session
Computers in Education Division (COED) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Lisa Cullington, Sacred Heart University; Mary V Villani, Farmingdale State College, SUNY, New York; Nur Dean, Farmingdale State College, SUNY, New York; Moaath Alrajab, Farmingdale State College, SUNY, New York; Arthur Hoskey, Farmingdale State College SUNY, New York; Ilknur Aydin, Farmingdale State College, SUNY, New York
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
Activity, students participated in the in-class activity by having defined roles and responsibilities. Some students were responsible for the oral presentation, others had to identify new discoveries in the content, while others needed to contextualize the events in their research.• Peer Assessment and feedback: Providing and receiving assessments from one’s peers can provide a variety of benefits for students involved in the peer assessment process. Students may have the opportunity to reflect, self-assess, and co-construct subject matter knowledge. Students’ confidence in the subject matter may also increase [10]. While these benefits have not been found to be universal, this study utilized collaborative learning